InstaCommentScraper is a Python tool designed to scrape all comments from Instagram posts by using their URLs. It retrieves valuable user data from comments, making it ideal for social media analysis, marketing research, and content engagement tracking.
git clone https://github.com/Ali-hey-0/InstaCommentScraper.gitInstaCommentScraper is a Python tool designed to scrape all comments from Instagram posts by using their URLs. It retrieves valuable user data from comments, making it ideal for social media analysis, marketing research, and content engagement tracking.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/Ali-hey-0/InstaCommentScraperCopy the install command above and run it in your terminal.
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Use the prompt template or examples below to test the skill.
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I need to scrape comments from an Instagram post. Here is the URL: [POST_URL]. Extract all comments, including usernames, comment text, and timestamps. Also, provide a summary of the sentiment analysis for these comments. Focus on [SPECIFIC_ASPECT] like product feedback or customer satisfaction.
# Instagram Comments Analysis ## Extracted Comments 1. **@foodie_love** (2023-10-15 14:30) "This burger is amazing! The flavors are spot on. 😋" *Sentiment: Positive* 2. **@burger_lover** (2023-10-15 15:45) "The patty was a bit dry. Needs more juiciness. 😕" *Sentiment: Negative* 3. **@eat_healthy** (2023-10-15 16:20) "Great job on the presentation! The colors are vibrant. 🎨" *Sentiment: Positive* ## Summary - **Total Comments:** 3 - **Positive Sentiment:** 2 - **Negative Sentiment:** 1 - **Neutral Sentiment:** 0 ## Key Insights - The majority of users appreciate the presentation and flavor of the burger. - There is a notable concern about the juiciness of the patty that needs attention.
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